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120 search results found

Pytorch ⭐ 74,794

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Effectivetensorflow ⭐ 8,646

TensorFlow tutorials and best practices.

Trax — Deep Learning with Clear Code and Speed

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

Megengine ⭐ 4,711

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

Flux.jl ⭐ 4,318

Relax! Flux is the ML library that doesn't make you tensor

Tch Rs ⭐ 3,567

Rust bindings for the C++ api of PyTorch.

Artificial Intelligence Deep Learning Machine Learning Tutorials ⭐ 3,436

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Hummingbird ⭐ 3,268

Hummingbird compiles trained ML models into tensor computation for faster inference.

Tensorflow_macos ⭐ 3,182

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Audio ⭐ 2,321

Data manipulation and transformation for audio signal processing, powered by PyTorch

Pytorch Nlp ⭐ 2,180

Basic Utilities for PyTorch Natural Language Processing (NLP)

Dataframe ⭐ 2,129

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

Awesome Tensor Compilers ⭐ 2,042

A list of awesome compiler projects and papers for tensor computation and deep learning.

Tensorcomprehensions ⭐ 1,746

A domain specific language to express machine learning workloads.

Pytorch Cpp ⭐ 1,710

C++ Implementation of PyTorch Tutorials for Everyone

Utensor ⭐ 1,607

TinyML AI inference library

Deep learning in Rust, with shape checked tensors and neural networks

Tensorly ⭐ 1,466

TensorLy: Tensor Learning in Python.

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Effectivepytorch ⭐ 1,321

PyTorch tutorials and best practices.

Numsharp ⭐ 1,256

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Arraymancer ⭐ 1,177

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends

Intel Extension For Pytorch ⭐ 1,161

A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

Awesome Latex Drawing ⭐ 1,015

Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX.

Tensorflow_scala ⭐ 897

TensorFlow API for the Scala Programming Language

Tiramisu ⭐ 872

A polyhedral compiler for expressing fast and portable data parallel algorithms

Torch Audiomentations ⭐ 823

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Redisai ⭐ 799

A Redis module for serving tensors and executing deep learning graphs

Libxsmm ⭐ 789

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Deep learning with spiking neural networks (SNNs) in PyTorch.

Node Tensorflow ⭐ 579

Node.js + TensorFlow

Executorch ⭐ 577

End-to-end solution for enabling on-device AI across mobile and edge devices for PyTorch models

Putting TensorFlow back in PyTorch, back in TensorFlow (differentiable TensorFlow PyTorch adapters).

Speedtorch ⭐ 559

Library for faster pinned CPU <-> GPU transfer in Pytorch

Diffsharp ⭐ 526

DiffSharp: Differentiable Functional Programming

Tensor_stream ⭐ 497

A ground-up and standalone reimplementation of TensorFlow for ruby. Comes with a pure ruby and OpenCL opcode evaluator

Libonnx ⭐ 451

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

Hello_tf_c_api ⭐ 436

Neural Network TensorFlow C API

Rust Autograd ⭐ 413

Tensors and differentiable operations (like TensorFlow) in Rust

Ocaml Torch ⭐ 376

OCaml bindings for PyTorch

Torchcde ⭐ 361

Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Niutensor ⭐ 350

NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.

Dscribe ⭐ 343

DScribe is a python package for creating machine learning descriptors for atomistic systems.

package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes

Functional tensors for probabilistic programming

A library and extension that provides objects for scientific computing in PHP.

Polyai Models ⭐ 195

Neural Models for Conversational AI

Tvm Vta ⭐ 170

Open, Modular, Deep Learning Accelerator

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust

Perfect Tensorflow ⭐ 161

TensorFlow C API Class Wrapper in Server Side Swift.

Sagemaker Debugger ⭐ 155

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

Scientific computing in pure Crystal

The V Tensor Library

Onnx Scala ⭐ 134

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3

Go Torch ⭐ 125

LibTorch (PyTorch) bindings for Golang

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Avro2tf ⭐ 117

Avro2TF is designed to fill the gap of making users' training data ready to be consumed by deep learning training frameworks.

Machine Learning Demystified ⭐ 114

A weekly workshop series at ITP to teach machine learning with a focus on deep learning

Sat2graph ⭐ 112

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

Autoray ⭐ 106

Abstract your array operations.

Mads.jl ⭐ 100

MADS: Model Analysis & Decision Support

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

Tvm Rfcs ⭐ 95

A home for the final text of all TVM RFCs.

GPU accelerated deep learning and numeric computing for Scala 3.

Ml Pyxis ⭐ 87

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

Pytorch Wrapper ⭐ 87

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

Deep.Net machine learning framework for F#

A flexable HTM (Hierarchical Temporal Memory) framework with full GPU support.

Attributionpriors ⭐ 75

Tools for training explainable models using attribution priors.

A neural network framework (with autograd!) for object pascal 🧠

Exprgrad ⭐ 70

An experimental deep learning framework for Nim based on a differentiable array programming language

Library for general purpose numerical computing and Machine Learning based on tensors and tensor expressions.

Machine Learning Processing ⭐ 68

Testing out ML Library ideas in Processing

Graphpipe Go ⭐ 64

GraphPipe for go

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

Pocket Tensor ⭐ 63

Run Keras models from a C++ application on embedded devices

PyTorch bindings for R

Deep learning for spiking neural networks

Puzzlelib ⭐ 57

Deep Learning framework with NVIDIA & AMD support

The Surprisingly ParalleL spArse Tensor Toolkit.

A C++ implementation to create, visualize and train Convolutional Neural Networks

Pytorch Alpine ⭐ 52

A very small PyTorch container in Alpine Linux

Deep Tensor Neural Network

Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.

Tf Decompose ⭐ 49

Tensor decomposition implemented in TensorFlow

Tensorflow Load Csv ⭐ 48

🤖 TensorFlow.js CSV loading on steroids. Clean up, normalise, transform, shuffle, and split your data all in a handful of lines and dive right into the fun parts of ML.

Tensorfusionnetwork ⭐ 44

EMNLP 2017 (Oral): Tensor Fusion Network for Multimodal Sentiment Analysis Code

Analisis Numerico Computo Cientifico ⭐ 43

Análisis numérico y cómputo científico

graftr: an interactive shell to view and edit PyTorch checkpoints.

N-dimensional / multi-dimensional arrays (tensors) in Scala 3. Think NumPy ndarray / PyTorch Tensor but type-safe over shapes, array/axis labels & numeric data types

Keras.jl ⭐ 42

A julia wrapper for https://keras.io

Ml Tutorial Notebooks ⭐ 41

This depot contain tutorials for real beginners who want to understand machine learning by reading some code.

Systemds ⭐ 35

An open source ML system for the end-to-end data science lifecycle

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

European Distributed Deep Learning (EDDL) library. A general-purpose library initially developed to cover deep learning needs in healthcare use cases within the DeepHealth project.

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

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